MacBook Pro (16-inch, 2021)
Geekbench ML Score
8983
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | November 09 2024 03:07 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.0.1 (Build 24A348) |
| Model | MacBook Pro (16-inch, 2021) |
| Model ID | MacBookPro18,2 |
| Motherboard | MacBookPro18,2 |
| CPU Information | |
|---|---|
| Name | Apple M1 Max |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M1 Max |
| Base Frequency | 3.14 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4311
806.7 IPS |
|
|
Image Classification (F16)
|
100% |
6470
1.21 KIPS |
|
|
Image Classification (I8)
|
99% |
6800
1.27 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1470
24.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1656
27.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1632
27.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
51748
62.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
64570
78.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
64670
78.3 IPS |
|
|
Object Detection (F32)
|
100% |
3315
247.5 IPS |
|
|
Object Detection (F16)
|
100% |
4142
309.2 IPS |
|
|
Object Detection (I8)
|
97% |
3093
230.9 IPS |
|
|
Face Detection (F32)
|
100% |
15212
180.9 IPS |
|
|
Face Detection (F16)
|
97% |
11134
132.4 IPS |
|
|
Face Detection (I8)
|
96% |
11158
132.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
24356
188.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
38446
298.2 IPS |
|
|
Depth Estimation (I8)
|
37% |
39056
302.9 IPS |
|
|
Style Transfer (F32)
|
100% |
80105
105.4 IPS |
|
|
Style Transfer (F16)
|
100% |
111637
146.8 IPS |
|
|
Style Transfer (I8)
|
100% |
114913
151.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
11524
411.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
20782
742.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
18919
675.7 IPS |
|
|
Text Classification (F32)
|
100% |
2113
3.04 KIPS |
|
|
Text Classification (F16)
|
100% |
3593
5.16 KIPS |
|
|
Text Classification (I8)
|
96% |
3669
5.27 KIPS |
|
|
Machine Translation (F32)
|
100% |
827
15.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1078
19.8 IPS |
|
|
Machine Translation (I8)
|
99% |
725
13.3 IPS |
